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1. datasci_7_geospatial datasci_7_geospatial Public

   Gain hands-on experience with geospatial data processing and visualization using the GCP Maps API and Geopandas. Understand the fundamentals of geocoding, reverse geocoding, and geospatial data vis…

   Jupyter Notebook

2. azure_flask_deployment azure_flask_deployment Public

   Hands-on experience setting up a Flask application, integrate it with data processing via Pandas, and deploy the app on Azure App Service. Check Screenshots folder to see the deployment.

   HTML

3. cloud_db_mgmt_pooling_migrations cloud_db_mgmt_pooling_migrations Public

   Gain practical experience in managing a cloud-based MySQL database with a focus on implementing connection pooling and performing database migrations. You will work with both Azure and Google Cloud…

   Python

4. datasci_3_eda datasci_3_eda Public

   Engage in the critical phase of Exploratory Data Analysis (EDA) using the tools and techniques from Python to uncover patterns, spot anomalies, test hypotheses, and identify the main structures of …

   HTML

5. datasci_4_web_viz datasci_4_web_viz Public

   Explore web-based platforms for interactive data visualization, contrasting R's Shiny with Python's equivalents. Harness these tools to present data in interactive and user-friendly ways.

   Python

6. datasci_6_anova datasci_6_anova Public

   Gain hands-on experience with ANOVA analysis, understanding its assumptions, and applying it to real-world datasets to understand differences among group means.

   Jupyter Notebook